Paul J. Chang, M.D., will speak about AI's potential impact on medical imaging during an AIMed breakfast briefing at the University of Chicago School April 9.

Paul J. Chang, M.D., will speak about AI's potential impact on medical imaging during an AIMed breakfast briefing at the University of Chicago School April 9.


Paul J. Chang, M.D., FSIIM, professor and vice-chairman of radiology informatics at the University of Chicago School of Medicine will explain how artificial intelligence (AI) will improve the field of radiology and patient outcomes. This is part of a series of regional AI breakfast briefings hosted by AIMed, a collaborative group that is working to bring various subspecialties together to expand the use of AI to improve medicine.

The event is Tuesday, April 9, 2019, from 8-10 a.m. CDT, at the Gleacher Center, The University of Chicago Booth School of Business Room 300, Lounge 350, located at 450 Cityfront Plaza Dr. in Chicago.

Register for this event:
https://www.eventbrite.co.uk/e/experience-the-future-of-ai-in-radiology-chicago-tickets-56287456297

Creating a collaborative ecosystem and robust infrastructure is important to enable AI to improve the field of radiology and patient outcomes.
Artificial Intelligence has the power to truly transform radiological practice. The benefits of machine learning and deep neural networks in identifying disease earlier and more accurately is irrefutable. The integration of this technology at scale is, however, more challenging. How do we invest in building the necessary frameworks to validate these tools in the clinical setting? How do we ensure we are working in unison as an industry and not in a siloed and duplicative fashion. How do we ensure we maintain physician oversight/domain expertise when these tools are being developed?

Topics to be discussed will include
   · The need for unbiased Ground Truth Data
   · Overhaul of IT infrastructure within the healthcare system at large.
   · Patient privacy/protection issues
   · Develop comprehensive partnerships between clinicians with the vendor community to develop tools of clinical utility and usability
   · How do we speed up research without putting scientific integrity at risk. Is there a hybrid model?
 
Format:
8:00 – 08:30 Arrival, coffee and networking

8:30 – 08:40 Welcome and introduction by Freddy White, CEO AIMed

8:40 – 09:30 Panel discussion 9:30 – 09:50 General Q&A

9:50 – 09:55 Summary and close

9:55 – 10:15 Networking and coffee 

Breakfast pastries, coffee and various refreshmentswill be available.


Additional Content

News | Radiology Imaging

Nov. 1, 2026 — GE HealthCare recently introduced Allia Celeo,* a ceiling-mounted image guiding system, at the ...

Time November 05, 2026
arrow
News | Radiology Imaging

Nov. 2, 2026 — Neurophet and RapidAI have partnered to integrate Neurophet’s advanced neurodegenerative brain imaging ...

Time November 04, 2026
arrow
News | Ultrasound Imaging

Oct. 28, 2026 — Clarius Mobile Health has announced 30 specialized AI models are now integrated into Clarius App 13.1 ...

Time November 02, 2026
arrow
News | Women's Health

Oct. 29, 2026 — Artera, the developer of multimodal artificial intelligence (MMAI)-based prognostic and predictive ...

Time October 30, 2026
arrow
News | X-Ray

Oct. 27, 2026 — AZmed has announced that its FDA-cleared AZtrauma and AZchest X-ray AI applications are available ...

Time October 29, 2026
arrow
Subscribe Now